This is an implementation of the semantic/sentiment similarity method developed by Turney and Littman 2003. The underlying matrix is a word × word matrix extracted from the NYT section of English Gigaword. The rows are the Harvard Inquirer words and the columns are the full vocabulary. (Both rows and columns are restricted to items with at least 60 tokens in the data.) The notion of co-ocurrence is a restricted one: sharing a semantic dependency in a Stanford collapsed dependency representation. PPMI with contextual discounting was applied to the count matrix, truncated SVD was applied to that (150 dimensions), and then pairwise cosine similarity was defined for the row (Inquirer) vocabulary.